Bayesian inference at scale: Running A/B tests with millions of observations

Industry data scientists are increasingly making the shift over to using Bayesian methods. However, one often cited reason for avoiding this is because “Bayesian methods are slow.” There can be some truth to this, although this is often a non-issue unless working at serious scale.

Interpreting LOO-PIT   Bayesian AB Testing